Hi could you fill this out? (b) Find the equation of the least-squares line. (Round your answers to two decimal places.)(C) Find r. Find the coefficient of determination 2. (Round your answers to three decimal places.)Explain what these measures mean in the context of the problem.O The coefficient of determination r measures the strength of the linear relationship between a bighorn sheep's age and the mortality rate. The correlation coefficientmeasures the explained variation in mortality rate by the corresponding variation in age of a bighorn sheep.O The correlation coefficient r measures the strength of the linear relationship between a bighorn sheep's age and the mortality rate. The coefficient of determination ?measures the explained variation in mortality rate by the corresponding variation in age of a bighorn sheep.O The correlation coefficient 2 measures the strength of the linear relationship between a bighorn sheep's age and the mortality rate. The coefficient of determination rmeasures the explained variation in mortality rate by the corresponding variation in age of a bighorn sheep.O Both the correlation coefficient r and coefficient of determination 2 measure the strength of the linear relationship between a bighorn sheep's age and the mortalityrate.(d) Test the claim that the population correlation coefficient is positive at the 1% level of significance. (Round your test statistic to three decimal places and your P-value tofour decimal places.)P-value =ConclusionO Reject the null hypothesis, there is sufficient evidence that p > 0.O Reject the null hypothesis, there is insufficient evidence that p> 0.O Fail to reject the null hypothesis, there is sufficient evidence that p> 0.O Fail to reject the null hypothesis, there is insufficient evidence that p > 0.(e) Given the result from part (c), is it practical to find estimates of y for a given x value based on the least-squares line model? Explain.O Given the significance of r, prediction from the least-squares model might be misleading.O Given the significance of r, prediction from the least-squares model is practical.O Given the lack of significance of r, prediction from the least-squares model is practical.O Given the lack of significance of r, prediction from the least-squares model might be misleading. 1234513.820.514.419.620.0Ex = 15; Ey = 88.3; Ex = 55; Ey = 1602.21; Exy = 276.4

Name: Hi could you fill this out? (b) Find the equation of the least-squares
Uploaded: 2024-03-05T11:52:21.000Z
Channel: Bartleby
Description: Hi could you fill this out? (b) Find the equation of the least-squares line. (Round your answers to two decimal places.)(C) Find r. Find the coefficient of determination 2. (Round your answers to three decimal places.)Explain what these measures mean